hubert0527 commented on issue #10134:
URL: https://github.com/apache/tvm/issues/10134#issuecomment-1038766570
Sorry for the late reply, was a bit busy lately.
I have confirmed the issue on my side is addressed with the solution. Thanks
for the amazing work from @LyricZhao !
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leeexyz commented on pull request #9829:
URL: https://github.com/apache/tvm/pull/9829#issuecomment-1038716418
@Hzfengsy It seems this modification impacts the hybrid op, which needs a
different output tensor every time.
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areusch opened a new issue #10238:
URL: https://github.com/apache/tvm/issues/10238
@kparzysz-quic
[states](https://discuss.tvm.apache.org/t/pillow-9-0-0-security-vulnerabilities/12070):
There are 3 security vulnerabilities in Pillow < 9.0.0. They are all
considered critical.
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areusch pushed a change to branch ci-docker-staging
in repository https://gitbox.apache.org/repos/asf/tvm.git.
omit 5418e9a Fix pytest invocations
omit c76ea66 trigger ci
omit 2154516 Add try..finally everywhere
JKANG94 opened a new issue #10237:
URL: https://github.com/apache/tvm/issues/10237
I ran the demo
"https://tvm.apache.org/docs/how_to/work_with_microtvm/micro_autotune.html; on
stm32f746zg board, and I met the error "crt/common/crt_runtime_api.c:210:
undefined reference to
masahi merged pull request #10215:
URL: https://github.com/apache/tvm/pull/10215
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masahi merged pull request #10233:
URL: https://github.com/apache/tvm/pull/10233
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PhilippvK commented on issue #10054:
URL: https://github.com/apache/tvm/issues/10054#issuecomment-1037158663
@areusch I would like to ask a first questing regarding this issue:
Would it make more sense to introduce a new subcommand under the `tvmc
micro` namespace (e.g. `tvmc micro
stoa commented on pull request #9385:
URL: https://github.com/apache/tvm/pull/9385#issuecomment-1038211460
@areusch
Made lint checks and rebased. Please review.
cheers
Arthur
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masahi commented on pull request #10227:
URL: https://github.com/apache/tvm/pull/10227#issuecomment-1037695696
I think we can drop
https://github.com/apache/tvm/blob/220b122d87556d581d65efa28b00ddfab817c1f9/cmake/modules/HexagonSDK.cmake#L85-L104
since I don't think we support SDK
masahi commented on a change in pull request #10233:
URL: https://github.com/apache/tvm/pull/10233#discussion_r805293094
##
File path: python/tvm/relay/frontend/pytorch.py
##
@@ -1597,6 +1597,21 @@ def func(x):
return func(data)
+def var_mean(self, inputs,
Hzfengsy commented on a change in pull request #10233:
URL: https://github.com/apache/tvm/pull/10233#discussion_r805301483
##
File path: python/tvm/relay/frontend/pytorch.py
##
@@ -1597,6 +1597,21 @@ def func(x):
return func(data)
+def var_mean(self, inputs,
masahi merged pull request #10228:
URL: https://github.com/apache/tvm/pull/10228
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Hzfengsy commented on pull request #9829:
URL: https://github.com/apache/tvm/pull/9829#issuecomment-1037798340
Could you please rebase it and make CI green?
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PhilippvK commented on issue #10141:
URL: https://github.com/apache/tvm/issues/10141#issuecomment-1038014042
I've recently worked with RISC-V vector instructions using these simulators:
- **Spike (`riscv-isa-sim`)** -
https://github.com/riscv-software-src/riscv-isa-sim
-
crazydemo commented on pull request #9995:
URL: https://github.com/apache/tvm/pull/9995#issuecomment-1038545873
> > @mikepapadim can you take a look at a this one, thanks.
>
> I ll take a look!
Hi @mikepapadim, do you have any comments?
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masahi commented on issue #10223:
URL: https://github.com/apache/tvm/issues/10223#issuecomment-1037881211
Fixed in https://github.com/apache/tvm/pull/10235. You shouldn't be using
`torch.jit.optimize_for_inference`, it does no good for us and it even
introduces `aten::conv2d` etc that we
kparzysz-quic commented on pull request #10227:
URL: https://github.com/apache/tvm/pull/10227#issuecomment-1038366959
I think that v65 and v66 should still work, and you'd need SDK 3.x for v65.
Having said that, I'm ok with dropping SDK 3.x, but I ask around before doing
that.
I
crazydemo commented on pull request #9995:
URL: https://github.com/apache/tvm/pull/9995#issuecomment-1038545873
> > @mikepapadim can you take a look at a this one, thanks.
>
> I ll take a look!
Hi @mikepapadim, do you have any comments?
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kparzysz-quic commented on pull request #10227:
URL: https://github.com/apache/tvm/pull/10227#issuecomment-1038366959
I think that v65 and v66 should still work, and you'd need SDK 3.x for v65.
Having said that, I'm ok with dropping SDK 3.x, but I ask around before doing
that.
I
stoa commented on pull request #9385:
URL: https://github.com/apache/tvm/pull/9385#issuecomment-1038211460
@areusch
Made lint checks and rebased. Please review.
cheers
Arthur
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masahi pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 7396be5 Mark test_op_int8 as flaky (#10215)
add bb60ee9 [PyTorch] add var_mean support (#10233)
No new revisions
masahi merged pull request #10233:
URL: https://github.com/apache/tvm/pull/10233
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PhilippvK commented on issue #10141:
URL: https://github.com/apache/tvm/issues/10141#issuecomment-1038014042
I've recently worked with RISC-V vector instructions using these simulators:
- **Spike (`riscv-isa-sim`)** -
https://github.com/riscv-software-src/riscv-isa-sim
-
Hzfengsy commented on a change in pull request #10233:
URL: https://github.com/apache/tvm/pull/10233#discussion_r805301483
##
File path: python/tvm/relay/frontend/pytorch.py
##
@@ -1597,6 +1597,21 @@ def func(x):
return func(data)
+def var_mean(self, inputs,
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